Computer-aided drainage basin cascade power station scheduling strategy optimization method

Abstract

The invention discloses a computer-aided drainage basin cascade power station scheduling strategy optimization method, which can generate a plurality of scheduling schemes for medium, long and short-term scheduling types of a cascade reservoir drainage basin at the same time and scheduling period under different constraint conditions. Various options are provided for runoff description modes, so that scheduling personnel can operate flexibly according to operation experience; according to the method, a plurality of visual expressions are provided for a result display mode, including a scheduling graph, a flow graph and an electric power graph, fully-open simulation calculation, graph linkage and the like under constraint conditions are supported, and an advanced and practical technical means is provided for guaranteeing optimization of a complex multi-mode drainage basin cascade power station scheduling strategy.

Description

Technical Field

[0001] The present invention relates to a method for optimizing the dispatching strategy of cascade hydropower stations in a basin, belonging to the field of informatization intelligent dispatching of power systems. Background Art

[0002] The dispatching strategy of cascade hydropower stations in a basin consists of a series of rules, dispatching models, algorithms, etc. It is based on runoff prediction and reservoir dispatching criteria. On the premise of power station safety, considering different objectives such as maximum power generation and maximum power generation benefit, it maximally excavates the power generation capacity of the power station and is the basis for realizing the automatic calculation of economic dispatching of cascade hydropower stations in a basin. Different dispatching models are applied in each level of power stations and need to be adjusted in combination with various constraints such as basin meteorology, water regime, reservoir operation conditions, generator set status, flood control and ecology to generate different types of reservoir dispatching schemes. These dispatching schemes may have local optimality but do not necessarily meet the requirements of the overall economic dispatching of the basin. Especially in cascade hydropower stations in a basin with hydropower, photovoltaic power and wind power at the same time, the complementary utilization of multiple clean energies becomes more complex.

[0003] Therefore, the dispatching strategy of cascade hydropower stations in a basin must rely on information technology to provide the optimal solution or near-optimal solution obtained from various objective functions as much as possible, and conduct comparison and evaluation to provide a decision-making basis for dispatchers to finally compile the dispatching scheme. Summary of the Invention

[0004] Object of the Invention: Aiming at the above-mentioned existing technologies, a computer-aided method for optimizing the dispatching strategy of cascade hydropower stations in a basin is proposed, which is applicable to cascade hydropower stations in a basin, including power stations with photovoltaic and wind power generation capabilities in the future, and realizes the simultaneous generation, comparison and visualization result analysis of multiple dispatching types and multiple dispatching schemes.

[0005] Technical Solution: A computer-aided method for optimizing the dispatching strategy of cascade hydropower stations in a basin includes:

[0006] Model Algorithm Design: On the basis of existing hydrological forecasting models and new energy load forecasting models, a model algorithm library is established, including a model for maximum reservoir power generation, a model for maximum reservoir power generation benefit, and a model for complementary utilization of water, wind and light; among them, the reservoir power generation benefit model includes a peak-valley electricity price mode for calculating the power generation benefit of each period according to the method of determining electricity by water, and a combined peak-valley and flood-dry electricity price mode considering the cumulative impact of peak-valley electricity prices on the long-term power generation benefit.

[0007] Determination of Dispatching Types: Including medium- and long-term hydropower dispatching, short-term hydropower dispatching and real-time dispatching;

[0008] Management of Dispatching Schemes: Manage the historical scheme set, including query, modification, analysis, deletion operations, as well as setting the execution scheme and triggering the creation of a new scheme;

[0009] Scheduling plan compilation: Compile the optimized economic scheduling plan for cascade hydropower stations in the basin, including setting scheduling objects, scheduling models, conditional parameters, and calculating and presenting the results of the plan; among them, setting the scheduling model is to combine model algorithms and scheduling types to form: the calculation model of single-reservoir short-term optimized scheduling, the calculation model of single-reservoir medium- and long-term optimized scheduling, the calculation model of cascade short-term optimized scheduling, and the calculation model of cascade medium- and long-term optimized scheduling; the calculation and presentation of the plan results include: analyzing and calculating according to the set scheduling objects, scheduling models, and conditional parameters to form plan results in two forms of tables and graphs for display and viewing of constraint violations;

[0010] Scheduling plan analysis: Track the plan, and analyze the risks of water abandonment, risk of water storage at the end of the flood season for hydropower, risk of output obstruction, risk of insufficient power, and risk of insufficient peak shaving.

[0011] Beneficial effects: Based on the maximum power generation model, maximum power generation benefit model, etc., the present invention proposes a method for optimizing the scheduling strategy of cascade hydropower stations in the basin assisted by a computer. This method generates multiple scheduling plans for short-term, medium-term, and long-term scheduling types in the cascade reservoir basin at the same time and scheduling period under different constraint conditions; provides multiple options for the description method of runoff, which is convenient for schedulers to operate flexibly according to operation experience; provides multiple visual expressions for the result display method, including scheduling diagrams, flow diagrams, and power diagrams, and supports fully open simulation calculations and chart linkage under constraint conditions, providing an advanced and practical technical means for ensuring the optimization of the scheduling strategy of complex multi-mode cascade hydropower stations. Description of the drawings

[0012] Figure 1 It is the flow chart of the method of the present invention. Detailed implementation manners

[0013] The following further explains the present invention with reference to the drawings.

[0014] As Figure 1 shown, a method for optimizing the scheduling strategy of cascade hydropower stations assisted by a computer is mainly divided into the following steps:

[0015] Step 1: Model algorithm design

[0016] The present invention does not limit the optimization of hydrological forecast models and other new energy load forecast models. Only for the integrity of the steps described in the present invention, the usage of the maximum power generation model of the reservoir, the maximum power generation benefit model of the reservoir, and the water-wind-light load complementary model is described.

[0017] 1) Maximum reservoir power generation model: Based on runoff forecast and the determined initial water level, given the final control water level, calculate the power generation for each time period according to the method of determining power by water. Its objective function is to maximize power generation under the given water use, considering separately the maximum power generation of a single reservoir and the maximum power generation of a cascade. The objective function is as follows:

[0018] For the maximum power generation of a single reservoir:

[0019]

[0020] Or, for the maximum power generation of a cascade:

[0021]

[0022] where i is the time period serial number, j is the hydropower station serial number, is the average output of the reservoir in time period i, Δt is the time period duration, k is the comprehensive output coefficient of the power station, is the average head in the time period, q i is the average power generation flow in the time period, is the average output of hydropower station j in time period i.

[0023] For the leading reservoir and reservoirs with high regulation performance below the leading reservoir, the trial algorithm, incremental dynamic programming method, POA method, and rotating reservoir optimization algorithm can be used for optimization, and calculate the final water level constraint of the reservoir: Z N,j = Z E,j where Z N,j is the calculated value of the final water level of the jth reservoir in the last time period, and Z E,j is the final water level constraint value of the jth reservoir.

[0024] For hydropower stations with poor regulation ability below the leading reservoir, they are no longer calculated according to this mode, and only the power generation output is calculated according to the mode of determining power by water.

[0025] Other constraint conditions:

[0026] Water balance equation:

[0027] Reservoir water level constraint:

[0028] Power generation flow constraint:

[0029] Power station output constraint:

[0030] Outflow constraint:

[0031] where V i+1 is the reservoir storage at the end of the time period, and V iis the initial reservoir storage volume at the beginning of the time period, is the average inflow rate during the time period, q i is the average power generation flow rate during the time period, is the other outflow rate during the time period; is the minimum water level constraint value during the time period, Z i is the calculated water level value during the time period, is the maximum water level constraint value during the time period; is the minimum power generation flow rate constraint during the time period, q i is the calculated power generation flow rate value during the time period, is the maximum power generation flow rate constraint value during the time period; is the minimum output constraint value during the time period, N i is the calculated average output during the time period, is the maximum output constraint value during the time period; is the minimum outflow rate constraint value during the time period, Qo i is the calculated outflow rate value during the time period, is the maximum outflow rate constraint value during the time period.

[0032] 2) Maximum reservoir power generation benefit model: It includes two cases:

[0033] (1) Flat and peak-valley electricity price model: According to the runoff forecast and the determined initial water level, given the end control water level, considering different flat and peak-valley electricity price mechanisms, calculate the power generation benefit of each time period by the method of determining electricity based on water, so as to adapt to the preparation of power generation plans under different electricity price mechanisms. Its objective function is the same as formula (1), and it is still processed separately for single reservoir and cascade, only calculated in different flat and peak-valley time periods, and the constraint conditions are the same as the maximum power generation model.

[0034] (2) Combined flat and peak-valley and flood-drought electricity price model: On the basis of the maximum power generation model, in addition to considering the long-term flat and peak-valley electricity prices, it also considers the cumulative impact of short-term peak-valley electricity prices on the long-term power generation benefit. Its objective function is to maximize the power generation benefit under the given water use. When calculating the optimization objective, it does not require the prediction data of typical load days of each month, and only needs the time period division of daily load peaks, flats, and valleys.

[0035]

[0036] In the formula: P i is the installed capacity of power station i, T g is the number of hours in the peak period of each day, T p is the number of hours in the normal period of each day, is the theoretical full power generation of power station i.

[0037] Taking the maximization of power generation benefit as the optimization objective function, it is still processed separately for single reservoir and cascade. The constraint conditions are the same as the maximum power generation model, and according to the actual situation, the total power generation or total load of cascade power stations can also be used as one of the constraint conditions.

[0038] 3) Hydro-wind-solar load complementary model: including but not limited to hydro-wind-solar multi-energy complementary mechanism and scheduling strategy, multi-time scale hydro-wind-solar complementary optimal scheduling model, risk and benefit evaluation model of hydro-wind-solar multi-energy complementary system.

[0039] (1) Hydro-wind-solar multi-energy complementary mechanism and scheduling strategy: According to the long-term power station operation data, analyze the complementary operation characteristics of hydropower stations and wind-solar energy on the medium and long-term time scale; select typical daily working conditions in different seasons, different water inflow conditions, and different weather conditions, and analyze the hydro-wind-solar complementary characteristics under different typical daily scheduling scenarios; analyze the two-part electricity price policy, pumped storage electricity price compensation mechanism, time-of-use electricity price policy, and electricity market competition strategy, and establish multi-energy complementary mechanisms and scheduling operation objectives on different time scales.

[0040] (2) Multi-time scale hydro-wind-solar complementary optimal scheduling model: At the medium and long-term scheduling level, comprehensively consider the constraints of hydro-wind-solar power stations themselves, power grid constraints, complex coupling constraints, and the uncertainty of power stations, consider the water levels of reservoir groups, and establish a medium and long-term optimal scheduling model for hydro-wind-solar multi-energy complementarity with the goal of improving the medium and long-term electricity complementary benefits.

[0041] (3) Risk and benefit evaluation model of hydro-wind-solar multi-energy complementary system: Analyze the various scheduling operation requirements and restrictions faced by different levels and objects of "power source group - power station", identify the risk sources affecting the safe operation of wind-solar-hydro storage systems such as reliability and stability, and construct a risk evaluation index system for hydro-wind-solar multi-energy complementary systems; analyze the main components of the costs and benefits of wind power, photovoltaic power, and hydropower stations, simulate the scheduling operation process under specific hydro-wind-solar multi-energy complementary schemes, and evaluate the scheduling operation risks and comprehensive benefits of hydro-wind-solar multi-energy complementarity.

[0042] Step 2: Determine the scheduling type

[0043] The scheduling types include medium and long-term hydropower scheduling, short-term hydropower scheduling, and real-time scheduling, which can customize the saving and query of scheduling parameters and results, and the results can be flexibly copied.

[0044] 1) Medium and long-term hydropower scheduling: Taking days, ten-day periods or months as time intervals, formulate annual or monthly reservoir (group) scheduling operation plans, and consider the following information and requirements when formulating the plans:

[0045] (1) The predicted water inflow can be extracted from the prediction results, and functions such as the same multiple ratio scaling of water inflow frequency, statistical value of the multi-year average, extraction of historical same-period values, and manual input selection setting are provided;

[0046] (2) Generator set data automatically gives the available number of generator sets in different time intervals according to factors such as the commissioning time of the units, the unit maintenance plan, and the elevation of the unit intake.

[0047] (3) Constraints Considering the impacts of water level, output, discharge flow, etc., the constraint values can be set;

[0048] (4) Control mode Conventional scheduling can be selected by time period, and it should preferably include the water level at the end of the period, the discharge flow during the period, the output during the period, and the reservoir operation chart, etc.;

[0049] (5) Objective function It can meet the requirements of the joint optimal scheduling of the reservoir group, and should at least include the maximum power generation and the maximum guaranteed output, and preferably include the maximum peak shaving benefit;

[0050] (6) Artificial simulation calculations can be carried out on the processes of inflow, reservoir water level, discharge flow, and power station output, etc., to achieve chart linkage;

[0051] (7) Scheduling calculations can be carried out on the long-term historical inflow of the reservoir, and statistical analysis can be carried out on the calculation results.

[0052] 2) Short-term hydropower scheduling: Formulate the 96-point power generation scheduling plan for each hydropower plant the next day. The plan formulation considers the following information and requirements:

[0053] (1) Automatically extract the results of the inflow forecast, and the result values can be manually intervened;

[0054] (2) Support the selection of different scheduling models for plan compilation;

[0055] (3) The available situation of the units and the start-stop priority order can be set, considering the power generation requirements of small units;

[0056] (4) Constraints related to reservoir operation and power station generation can be set, including flood control (such as reservoir water level, discharge flow) requirements, shipping (such as minimum flow, water level variation during the period) requirements, water intake (such as minimum flow) requirements, unit operation (such as the minimum stable operation output, the minimum output of the switch-on and switch-off machine pressure plate) constraints, and the total output constraint at the machine terminal or grid connection of the whole plant, etc.;

[0057] (5) Support the compilation of short-term power generation scheduling plans for multiple days.

[0058] 3) Real-time scheduling: Carry out online hydropower scheduling calculations in 15-minute time periods, and the scheduling period can be modified to meet the following requirements:

[0059] (1) The available situation of the units and the start-stop priority order can be set, and the power generation requirements of small units can be considered;

[0060] (2) The online scheduling calculation includes the function of rolling prediction of the reservoir water level trend, and an alarm function should preferably be provided in case of abnormal situations such as water abandonment and insufficient electricity;

[0061] (3) The water level, discharge flow, and output data can be obtained by means of artificial simulation and model calculation, etc., to adjust the power generation plan of the hydropower station.

[0062] Step 3: Scheduling Plan Management

[0063] Relying on the formulated scheduling plan, manage the historical plan set, including querying, modifying, analyzing, and deleting historical plans, setting the execution plan and triggering the creation of new plans, and saving and exporting the plan results.

[0064] 1) New Plan: Use the stored input conditions as a template or set new scheduling objects, scheduling models, and condition parameters to trigger the compilation of a scheduling plan.

[0065] 2) Plan Details: Conduct a review operation on the scheduling objects, condition parameters, and calculation results of the selected historical plan, and all information can be presented. Modification operations can be performed and recalculation can be carried out.

[0066] 3) Long-Series Calculation: Conduct long-series calculations on the selected plan, in continuous-year mode and year-by-year mode, and output the statistical indicators and detailed calculation data of the long-series calculation.

[0067] 4) Query Plans and Other Operations: Query the saved scheduling plans according to certain query conditions, and operations such as deletion and export can be performed.

[0068] Step 4: Scheduling Plan Compilation

[0069] Compile the optimal economic scheduling plan for cascade hydropower stations in the basin according to the instructions for creating a new plan in Step 3.

[0070] 1) Scheduling Object Setting: Include the setting of scheduling objects and their scheduling methods. The scheduling object is the scope of power stations for scheduling calculations, including single reservoirs, series-connected reservoirs, and combined-connected reservoirs, etc.; the scheduling method consists of a set of scheduling methods formed by the scheduling type, scheduling period, and scheduling time.

[0071] (1) Scheduling Type: That is, the scheduling step length, which refers to a time period in the scheduling cycle, and there are monthly, ten-day, daily, and hourly (including 1 hour, half an hour, and 15 minutes).

[0072] (2) Scheduling Period: Refers to the duration of a scheduling plan, and there are annual scheduling, monthly scheduling, ten-day scheduling, weekly scheduling, and daily scheduling.

[0073] (3) Scheduling Time: Combined by the scheduling type and scheduling period, it forms the start time and end time of scheduling.

[0074] 2) Scheduling Model Setting: Combine and classify the content selected in Step 1 and Step 2 to form the following specific calculation models:

[0075] (1) The calculation models for short-term optimal scheduling of single reservoirs include: single-reservoir mixed control, maximum single-reservoir power generation, and maximum single-reservoir power generation revenue.

[0076] (2) The calculation models for medium- and long-term optimal dispatching of a single reservoir include: single-reservoir hybrid control, maximum power generation of a single reservoir, maximum power generation revenue of a single reservoir, and the reservoir operation chart of a single reservoir.

[0077] (3) The calculation models for short-term optimal dispatching of cascade reservoirs include: maximum power generation of the cascade and maximum power generation revenue of the cascade.

[0078] (4) The calculation models for medium- and long-term optimal dispatching of cascade reservoirs include: maximum power generation of the cascade, maximum power generation revenue of the cascade, and the joint operation chart of the cascade, etc.

[0079] 3) Setting of conditional parameters: including the constraint conditions and definite solution conditions for formulating the power generation dispatching plan.

[0080] (1) Constraint conditions: including initial and final water levels, water level limits, downstream discharge limits, power output limits, etc.

[0081] (2) Definite solution conditions: including runoff description, power output prediction, power generation load rate, uneven flow, planned maintenance, peak-valley electricity price for wet and dry seasons, peak-valley electricity price, dispatching instructions, etc.

[0082] 4) Display of calculation results of the plan: Analyze and calculate according to the set dispatching object, dispatching model, and conditional parameters to form the plan results, that is, the summary table of dispatching results, including two forms: tables and graphs, for display and viewing of constraint violations.

[0083] 1) Summary of dispatching results: According to dispatching requirements, the result display of the dispatching plan can be divided into two types: summary of a single power station and summary of the cascade. The detailed information is displayed in the form of graphs and tables. Among them, the calculation result table of the cascade reservoir group includes the cascade summary and the hourly power output, electricity quantity values, and corresponding statistical values of each single station during the dispatching period; the calculation result table of a single power station is relatively more detailed, including the calculated values of hourly water level, flow rate, power output, electricity quantity, etc. of the dispatching power station during the dispatching period and the corresponding statistical values.

[0084] 2) Man-machine interactive simulation calculation: Considering that the plan results calculated by the power generation dispatching model may not fully meet the actual application requirements, the man-machine interactive simulation calculation function can be used to modify and adjust the plan results according to the requirements. The statistical indicators of the interactive simulation include the water level at the end of each time period, the downstream discharge, the power output, and the upstream inflow of each power station at each time period.

[0085] Step 5: Analysis of the dispatching plan

[0086] 1) Plan tracking: Based on monthly and daily runoff data, track the implementation of annual and monthly power purchase and sale contracts or power generation plans month by month, ten-day by ten-day, or day by day, analyze the remaining periods of the year, month, and ten-day periods, and predict the technical conditions required to complete the contracts during each remaining period based on the actual annual power generation completion situation.

[0087] 2) Analysis of the risk of discharging water: The reservoir water discharging risk model is divided into long-term and short-term water discharging risk analysis methods according to different runoff data applications. It analyzes the water discharging risk faced when operating according to the corresponding dispatching plan and generates benefit and risk curves.

[0088] 3) Risk of impounding water at the end of the flood season in hydropower stations: Calculate the risk rate that the reservoir cannot be impounded to the normal high water level at the end of the flood season for the dispatching plan.

[0089] 4) Risk of output obstruction: Analyze the risk that the operating water head of the hydropower station will be lower than the rated water head within the next few hours to several days, resulting in output obstruction of the power station.

[0090] 5) Risk of insufficient power generation: Analyze the risk that the cascade hydropower stations cannot generate electricity according to the original power generation plan. According to different runoff data applications, it is further divided into long-term and short-term risk analysis of insufficient power generation.

[0091] 6) Risk of insufficient peak regulation: Analyze the insufficient peak regulation power and the difference in peak regulation output.

[0092] 7) Other risks: Analysis of runoff forecast errors, comparison and analysis of the benefits of discharging water before flood and the power loss caused by low water head operation, etc.

[0093] The computer-aided optimization method for the dispatching strategy of cascade hydropower stations in the basin given by the present invention makes full use of the advantages of computer capabilities such as water resource calculation, comparison and analysis, chart linkage, simulation and visualization. Combining the specific conditions of cascade hydropower stations and their reservoirs in the basin, through the simultaneous generation, comparison and visualization result analysis of multiple dispatching types and multiple dispatching plans, it maximally optimizes the maximum power generation model, the maximum power generation benefit model and realizes complementarity with possible future new energy. Moreover, it fully reserves the interfaces for new power stations and function configuration options. Each dispatching model has strong scalability, can automatically adapt to changes in the construction and installed capacity of cascade hydropower stations, etc., and is convenient for the adjustment and upgrade of the power generation plan function. It has good decision-making support capabilities for the optimization of the dispatching strategy of cascade hydropower stations in the basin.

[0094] The above are only the preferred embodiments of the present invention. It should be noted that for those of ordinary skill in the art in this technical field, without departing from the principle of the present invention, several improvements and refinements can be made, and these improvements and refinements should also be regarded as the protection scope of the present invention.

Claims

1. A computer-aided optimization method for cascade hydropower station scheduling strategies, characterized in that Including: Model algorithm design: Based on existing hydrological forecasting models and new energy load forecasting models, a model algorithm library is established, including a model for maximizing reservoir power generation, a model for maximizing reservoir power generation benefits, and a model for complementary operation of water, wind and solar energy; among them, the reservoir power generation benefit model includes a flat and peak-valley electricity price model for calculating the power generation benefits of each period according to the method of determining electricity by water volume, and a combined flat and peak-valley electricity price model considering the cumulative impact of peak-valley electricity prices on long-term power generation benefits; Determination of dispatching types: including medium- and long-term hydropower dispatching, short-term hydropower dispatching and real-time dispatching; Management of dispatching plans: Manage the historical plan set, including querying, modifying, analyzing, deleting operations, as well as setting the execution plan and triggering the creation of a new plan; Compilation of dispatching plans: Compile the optimized economic dispatching plan for cascade hydropower stations in the basin, including setting dispatching objects, dispatching models, conditional parameters, as well as calculating and displaying the plan results; among them, setting the dispatching model is to combine the model algorithm and the dispatching type to form: a calculation model for short-term optimization dispatching of a single reservoir, a calculation model for medium- and long-term optimization dispatching of a single reservoir, a calculation model for short-term optimization dispatching of cascades, and a calculation model for medium- and long-term optimization dispatching of cascades; the calculation and display of plan results include: analyzing and calculating according to the set dispatching objects, dispatching models and conditional parameters to form plan results in the form of tables and graphs for display and viewing of constraint violations; Analysis of dispatching plans: Track the plan, and analyze the risks of water waste, risk of water storage at the end of the flood season for hydropower, risk of blocked output, risk of insufficient electricity, and risk of insufficient peak regulation.

2. The method according to claim 1, characterized in that, The model for maximizing reservoir power generation is: Through runoff forecast data and initial / end water level constraints, the objective function is to maximize power generation under the given water use, and calculate the power generation of each period with a single reservoir or cascades as the object.

3. The method according to claim 1, characterized in that, The model for complementary operation of water, wind and solar energy includes a mechanism and dispatching strategy for multi-energy complementary operation of water, wind and solar energy, an optimization dispatching model for multi-energy complementary operation of water, wind and solar energy at multiple time scales, and a risk and benefit evaluation model for the multi-energy complementary system of water, wind and solar energy; The mechanism and dispatching strategy for multi-energy complementary operation of water, wind and solar energy is to establish a multi-energy complementary mechanism and dispatching operation objectives at different time scales based on long-term power station operation data; The optimization dispatching model for multi-energy complementary operation of water, wind and solar energy at multiple time scales is to establish a medium- and long-term optimization dispatching model for multi-energy complementary operation of water, wind and solar energy at the medium- and long-term dispatching level with the goal of improving the medium- and long-term electricity complementary benefits; The risk and benefit evaluation model for the multi-energy complementary system of water, wind and solar energy is to construct a risk evaluation index system for the multi-energy complementary system of water, wind and solar energy, simulate the dispatching operation process under the multi-energy complementary operation plan of water, wind and solar energy, and evaluate the dispatching operation risks and comprehensive benefits of the multi-energy complementary operation of water, wind and solar energy.

4. The method according to claim 1, wherein The medium- and long-term hydropower dispatching is to formulate an annual or monthly dispatching operation plan with a time period of day, ten-day or month; among them, the generator set data automatically gives the available number of generator sets in segments according to factors such as the commissioning time of the generator set, the generator set maintenance plan, and the elevation of the generator set intake; the objective function is to meet the requirements of joint optimization dispatching of reservoir groups, including maximizing power generation and maximizing guaranteed output; The short-term hydropower dispatching is to formulate a 96-point power generation dispatching plan for each hydropower station the next day; The real-time scheduling is to perform online scheduling calculations for hydropower in 15-minute intervals, including the function of rolling prediction of reservoir water level trends.

5. The method according to claim 1, characterized in that, In medium- and long-term hydropower scheduling, the predicted incoming water can be set in various ways. The available number of generating units is automatically given by time period, and the control mode is selected as conventional scheduling by time period. The objective functions include maximizing power generation and ensuring maximum output.

6. The method according to claim 1, wherein In the steps of scheduling plan management, a new plan can independently set scheduling objects, models, and conditional parameters completely new from the template.

7. The method according to claim 1, wherein In the steps of scheduling plan analysis, the plan tracking follows the execution of contracts according to different runoff data and predicts the conditions during the remaining period. The analysis of the risk of water abandonment generates a benefit-risk curve. Other risks include the comparative analysis of runoff forecast errors, the benefit of flood-preemptive reservoir emptying, and the loss of low-head power generation.

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